Results 61 to 70 of about 12,433,356 (168)
Advanced Engineering Materials, EarlyView.In situ synchrotron high‐energy X‐ray diffraction reveals the real‐time high‐temperature phase evolution of a ternary V‐9Si‐6.5B alloy. The study uncovers a kinetically delayed V5SiB2 → V8SiB4 transformation governed by massive structural and chemical barriers.
Zahra Sabeti +4 more
wiley +1 more source
Melanoma Detection Using an Objective System Based on Multiple Connected Neural Networks
IEEE Access, 2020 Melanoma is a common form of skin cancer that dangerously affects many people around the world. Detection of melanoma with the naked eye by dermatologists may be subject to errors.
Loretta Ichim, Dan Popescu
doaj +1 more source
Toward Super-Resolution Image Construction Based on Joint Tensor Decomposition
, 2020 International audienceIn recent years, fusing hyperspectral images (HSIs) and multispectral images (MSIs) to acquire super-resolution images (SRIs) has been in the spotlight and gained tremendous attention.
Lu, Liangfu +5 more
core +1 more source
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Advanced Engineering Materials, EarlyView.Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
Investigating the Low‐Temperature Phase Stability of the Binary Ta–W System
Advanced Engineering Materials, EarlyView.Atomistic simulations show that the binary Ta–W system forms ordered intermetallic phases, B2‐TaW and D03‐TaW3, as 0 K ground states. Configurational entropy, however, lowers the free energy of the disordered bcc solid solution, which becomes the stable phase above about 400 K.
Klemens Lechner +7 more
wiley +1 more source
Color Models for Image Decomposition [PDF]
, 2006 Decomposing an image into components provides a method through which meaningful information can be extracted from an image. This work is a study of image decomposition techniques for color images.
Sovak, Melissa
core +1 more source
Physics-guided dual implicit neural representations for source separation
Machine Learning: Science and TechnologySignificant challenges exist in efficient data analysis of most advanced experimental and observational techniques because the collected signals often include unwanted contributions, such as background and signal distortions, that can obscure the ...
Yuan Ni +9 more
doaj +1 more source
International Journal of Distributed Sensor Networks, 2018 The bidimensional empirical mode decomposition algorithm is more suitable to handle image fusion than the traditional multi-scale decomposition methods in the image fusion area.
Pei Wang, Hui Fu, Ke Zhang
doaj +1 more source
Detail-Preserving Image Denoising via Adaptive Clustering and Progressive PCA Thresholding
IEEE Access, 2018 This paper proposes a detail-preserving image denoising method via cluster-wise progressive principal component analysis (PCA) thresholding based on the Marchenko-Pastur (MP) law in random matrix theory.
Wenzhao Zhao +3 more
doaj +1 more source
Quantum Image Watermarking Algorithm Based on Haar Wavelet Transform
IEEE Access, 2019 In this paper, a novel frequency domain quantum watermarking scheme is proposed based on the Flexible Representation of Quantum Images, which can embed a 2n1 × 2n1 binary watermark image into a 2n × 2n grayscale carrier image.
Wen-Wen Hu +3 more
doaj +1 more source